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                <div class="bbp-reply-header" id="post-242533">
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                  <span class="bbp-reply-post-date">
                   2008年1月27日 上午5:59
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                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/9545/">
                    如何用SPSS进行2×2析因设计的数据分析。
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                  <p>
                   纠正一下，“药物种类”改为A药物添加量1代表0%，2代表N%，“添加量”改为B药物的添加量1代表0%，2代表N%。
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                   2008年1月27日 上午5:33
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                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/9545/">
                    如何用SPSS进行2×2析因设计的数据分析。
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                  <p>
                   我是这样做的，用glm中的univariate处理，但是在做多重比较时时出现以下问题。
                   <br/>
                   Warnings
                   <br/>
                   Post hoc tests are not performed for 药物种类 because there are fewer than three groups.
                   <br/>
                   Post hoc tests are not performed for 药物添加 because there are fewer than three groups.
                   <br/>
                   Between-Subjects Factors
                   <br/>
                   Value Label    N
                   <br/>
                   药物种类    1.00    A    8
                   <br/>
                   2.00    B    8
                   <br/>
                   药物添加    1.00    0%    8
                   <br/>
                   2.00    N%    8
                   <br/>
                   Tests of Between-Subjects Effects
                   <br/>
                   Dependent Variable: ADG
                   <br/>
                   Source    Type III Sum of Squares    df    Mean Square    F    Sig.
                   <br/>
                   Corrected Model    .008(a)    3    .003    .499    .690
                   <br/>
                   Intercept    .886    1    .886    171.821    .000
                   <br/>
                   药物种类    .002    1    .002    .354    .563
                   <br/>
                   药物添加    .000    1    .000    .028    .871
                   <br/>
                   药物种类 * 药物添加    .006    1    .006    1.114    .312
                   <br/>
                   Error    .062    12    .005
                   <br/>
                   Total    .955    16
                   <br/>
                   Corrected Total    .070    15
                   <br/>
                   a    R Squared = .111 (Adjusted R Squared = -.111)
                  </p>
                  <p>
                   因为只有两个水平，所以不能做多重比较。
                  </p>
                  <p>
                   如果采用compare means 中的ANOVA可不可以呢？
                   <br/>
                   或者二者结合起来，这样既能看出水平之间，不同药物之间，还有药物水平之间有没有互作，还能知道各个组合的效果有无差异？这不是什么难的问题吧。请有经验的人指教。
                  </p>
                  <p>
                   数据结构是这样的：
                   <br/>
                   药物种类   添加量    结果
                   <br/>
                   1.00    1.00    .40
                   <br/>
                   1.00    1.00    .16
                   <br/>
                   1.00    1.00    .31
                   <br/>
                   1.00    1.00    .18
                   <br/>
                   1.00    2.00    .31
                   <br/>
                   1.00    2.00    .17
                   <br/>
                   1.00    2.00    .26
                   <br/>
                   1.00    2.00    .18
                   <br/>
                   2.00    1.00    .19
                   <br/>
                   2.00    1.00    .18
                   <br/>
                   2.00    1.00    .23
                   <br/>
                   2.00    1.00    .20
                   <br/>
                   2.00    2.00    .18
                   <br/>
                   2.00    2.00    .30
                   <br/>
                   2.00    2.00    .27
                   <br/>
                   2.00    2.00    .24
                  </p>
                  <p>
                   药物种类中1代表药物A，2代表药物B；药物添加量中1代表0%（未添加），2代表N%（也就是AB两种药的添加量）。
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                   2007年12月18日 下午1:46
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                   回复：
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                    t检验和方差分析，选哪个？？
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                  <p>
                   忘了一件事，就是one-way ANOVA要正态，齐性等等前提。看看否是符合这些条件，如果不符合就直接气绝专家，如果这些都具备，T检验和one-way ANOVA的结果是一样的。
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                   2007年12月18日 下午1:40
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                   回复：
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                    t检验和方差分析，选哪个？？
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                  <p>
                   首先可以确定的是，你要做是两样本均数比较。这个是大前提，不用十个间两两比较。然后做独立性分析，这就要分两种情况和。先说第一种，如果独立，再看是否正态分布，如果正态分布，再做齐性检验，如果齐性就采用成组设计t检验，如果不齐就采用不齐的结果(齐和不齐结果会同时显示）；如果不正态分布，就直接用wilcomxon秩和检验。 再说第二种情况，如果不独立，一般是采用了配对设计，此时要看两组数据均数差值是否正态分布，如果是就做配对T检验，如果不是就采用wilcomxon秩和检验。当然你做的独立样本t检验也可以做one-way ANOVA, 我想结果是一样的。你做的是对的，没必要按评审专家的改，除排他是统计专业人士。
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                   2007年12月17日 下午3:25
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                    有关曲线回归
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                   一个梯度一个，共四个。
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                   2007年12月16日 下午3:36
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                    t检验和方差分析，选哪个？？
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                  <p>
                   你做的是没有错的，是专家们错了。
                   <br/>
                   你的目的仅是想知道二到九与一的比较，其实就相当于两个处理，所以用T检验是恰当的。用方差是不合适。
                   <br/>
                   但也要注意T检验应用的前提。
                  </p>
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                 <!-- .bbp-reply-content -->
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                <!-- .reply -->
                <div class="bbp-reply-header" id="post-236689">
                 <div class="bbp-meta">
                  <span class="bbp-reply-post-date">
                   2007年10月27日 下午1:48
                  </span>
                  <span class="bbp-header">
                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/8109/">
                    请您指点一下，我的实验该用什么方法统计？repeated measure?
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/8109/#post-236689">
                   12 楼
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                 <div class="bbp-reply-content">
                  <p>
                   文章 已经发到你的信箱里。
                  </p>
                 </div>
                 <!-- .bbp-reply-content -->
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                <!-- .reply -->
                <div class="bbp-reply-header" id="post-236581">
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                  <span class="bbp-reply-post-date">
                   2007年10月25日 下午2:21
                  </span>
                  <span class="bbp-header">
                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/8109/">
                    请您指点一下，我的实验该用什么方法统计？repeated measure?
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/8109/#post-236581">
                   10 楼
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                  <p>
                   文章编号：1004—4337(2006)02—0162—04 中国分类号：R195．1 文献标识码；A
                   <br/>
                   用SPSS1 1．o实现对重复测量资料的方差分析
                   <br/>
                   邱宏 金如锋 赵玲 魏建子 沈学勇
                   <br/>
                   (上海中医药大学预防医学与卫生统计教研室 上海201203)
                  </p>
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                <div class="bbp-reply-header" id="post-236580">
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                  <span class="bbp-reply-post-date">
                   2007年10月25日 下午2:17
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                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/8109/">
                    请您指点一下，我的实验该用什么方法统计？repeated measure?
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/8109/#post-236580">
                   9 楼
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                  <p>
                   digestive，您好，如果您有空看下这篇文章，看看用这种方法行不行，因为我不会用S-plus,发表文章可能只要求SAS或SPSS。我的信箱是yeth777@yahoo.com.cn, 我把文章发给您。
                  </p>
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                <div class="bbp-reply-header" id="post-236291">
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                  <span class="bbp-reply-post-date">
                   2007年10月20日 下午5:04
                  </span>
                  <span class="bbp-header">
                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/8109/">
                    请您指点一下，我的实验该用什么方法统计？repeated measure?
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/8109/#post-236291">
                   7 楼
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                  <p>
                   我在出差，手上没有相关资料，我回去后再看下资料。不过Splus我没用过，如果发文章，没指定这个软件的话，会不会有问题。
                  </p>
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                <div class="bbp-reply-header" id="post-236241">
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                  <span class="bbp-reply-post-date">
                   2007年10月19日 下午5:02
                  </span>
                  <span class="bbp-header">
                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/8109/">
                    请您指点一下，我的实验该用什么方法统计？repeated measure?
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/8109/#post-236241">
                   5 楼
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                <!-- #post-236241 -->
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                  <p>
                   我在仔细想想，好象有不妥之处。
                  </p>
                 </div>
                 <!-- .bbp-reply-content -->
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                <!-- .reply -->
                <div class="bbp-reply-header" id="post-235302">
                 <div class="bbp-meta">
                  <span class="bbp-reply-post-date">
                   2007年10月5日 上午2:18
                  </span>
                  <span class="bbp-header">
                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/8109/">
                    请您指点一下，我的实验该用什么方法统计？repeated measure?
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/8109/#post-235302">
                   3 楼
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                  <p>
                   能不能再详细一点。
                  </p>
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                 <!-- .bbp-reply-content -->
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                <div class="bbp-reply-header" id="post-232019">
                 <div class="bbp-meta">
                  <span class="bbp-reply-post-date">
                   2007年8月28日 上午5:59
                  </span>
                  <span class="bbp-header">
                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/7499/">
                    请高手帮我指出下面程序的错误吧，
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/7499/#post-232019">
                   10 楼
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                <!-- #post-232019 -->
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                  <p>
                   呵呵，那个老外不会开这种玩笑的。影响会很大。不是所有老外和老外的所有行为都是值得信任的。还是感谢各位。
                  </p>
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                <div class="bbp-reply-header" id="post-232018">
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                  <span class="bbp-reply-post-date">
                   2007年8月28日 上午5:57
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                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/7499/">
                    请高手帮我指出下面程序的错误吧，
                   </a>
                  </span>
                  <a class="bbp-reply-permalink" href="http://cos.name/cn/topic/7499/#post-232018">
                   9 楼
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                  <p>
                   谢谢各位。
                  </p>
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                <div class="bbp-reply-header" id="post-231642">
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                  <span class="bbp-reply-post-date">
                   2007年8月23日 上午4:33
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                   回复：
                   <a class="bbp-topic-permalink" href="http://cos.name/cn/topic/7499/">
                    请高手帮我指出下面程序的错误吧，
                   </a>
                  </span>
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                   5 楼
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                  <p>
                   输出结果是这样的
                   <br/>
                   NOTE: Copyright (c) 1999-2001 by SAS Institute Inc., Cary, NC, USA.
                   <br/>
                   NOTE: SAS (r) Proprietary Software Release 8.2 (TS2M0)
                   <br/>
                   Licensed to QUEENSLAND UNIVERSITY OF TECHNOLOGY, Site 0039969016.
                   <br/>
                   NOTE: This session is executing on the WIN_PRO  platform.
                  </p>
                  <p>
                   NOTE: SAS initialization used:
                   <br/>
                   real time           1.76 seconds
                   <br/>
                   cpu time            0.59 seconds
                  </p>
                  <p>
                   1    Data one;
                   <br/>
                   2    Input rep sex$ @;
                   <br/>
                   3    Do x=0.38, 0.42, 0.46, 0.50, 0.54, 0.58;
                   <br/>
                   4    Input y @; output;
                   <br/>
                   5    End;
                   <br/>
                   6    datalines;
                  </p>
                  <p>
                   NOTE: The data set WORK.ONE has 24 observations and 4 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.31 seconds
                   <br/>
                   cpu time            0.03 seconds
                  </p>
                  <p>
                   11   ;
                   <br/>
                   12   Proc print; run;
                  </p>
                  <p>
                   NOTE: There were 24 observations read from the data set WORK.ONE.
                   <br/>
                   NOTE: PROCEDURE PRINT used:
                   <br/>
                   real time           0.15 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   13   Data fill;
                   <br/>
                   14   Do rep=1 to 4;
                   <br/>
                   15   Do x=0.38 to 0.58 by 0.001; y=.; output; end; end; run;
                  </p>
                  <p>
                   NOTE: The data set WORK.FILL has 804 observations and 3 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   16   Data one; set one fill; run;
                  </p>
                  <p>
                   NOTE: There were 24 observations read from the data set WORK.ONE.
                   <br/>
                   NOTE: There were 804 observations read from the data set WORK.FILL.
                   <br/>
                   NOTE: The data set WORK.ONE has 828 observations and 4 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.00 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   17   ***straight broken line with a random component included for parameter 1;
                   <br/>
                   18   Proc nlmixed data=one maxiteR=1000;
                   <br/>
                   19   Parameters L=725 U=130 R=0.5;
                   <br/>
                   20   X1=(x&lt;R)*(R-x);
                   <br/>
                   21   Model y~normal (L+U*(z1)+lvar, errvar);
                   <br/>
                   22   Random lvar~normal (0, repvar) subject= rep out=blups;
                   <br/>
                   23   Predict L+U*(z1)+lvar out=ppp; run;
                  </p>
                  <p>
                   ERROR: QUANEW Optimization cannot be completed.
                   <br/>
                   WARNING: Optimization routine cannot improve the function value.
                   <br/>
                   NOTE: The data set WORK.BLUPS has 0 observations and 0 variables.
                   <br/>
                   NOTE: The data set WORK.PPP has 0 observations and 0 variables.
                   <br/>
                   NOTE: PROCEDURE NLMIXED used:
                   <br/>
                   real time           0.73 seconds
                   <br/>
                   cpu time            0.26 seconds
                  </p>
                  <p>
                   24   Ods output dimensions=ddd;
                   <br/>
                   25   Data ppp; set ppp;
                   <br/>
                   26   Resid=y-pred; run;
                  </p>
                  <p>
                   NOTE: Variable pred is uninitialized.
                   <br/>
                   NOTE: Variable y is uninitialized.
                   <br/>
                   NOTE: There were 0 observations read from the data set WORK.PPP.
                   <br/>
                   NOTE: The data set WORK.PPP has 0 observations and 3 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   27
                   <br/>
                   28   *****run this code to get an R-square and adjusted R-square;
                   <br/>
                   29   Proc means noprint data=ppp; where y ne .;
                   <br/>
                   30   Var y resid;
                   <br/>
                   31   Output out =mmm uss=totss sserr css=ctotss rss1 n=nobs; run;
                  </p>
                  <p>
                   NOTE: No observations in data set WORK.PPP.
                   <br/>
                   NOTE: The data set WORK.MMM has 0 observations and 7 variables.
                   <br/>
                   NOTE: PROCEDURE MEANS used:
                   <br/>
                   real time           0.04 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   WARNING: Output 'dimensions' was not created.
                  </p>
                  <p>
                   32   Data ddd; set ddd; if descr='prarameters'; run;
                   <br/>
                   ERROR: File WORK.DDD.DATA does not exist.
                  </p>
                  <p>
                   NOTE: The SAS System stopped processing this step because of errors.
                   <br/>
                   WARNING: The data set WORK.DDD may be incomplete.  When this step was stopped there were 0
                   <br/>
                   observations and 1 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   33   Proc sort data =blups; by effect;
                   <br/>
                   ERROR: Variable EFFECT not found.
                  </p>
                  <p>
                   NOTE: The SAS System stopped processing this step because of errors.
                   <br/>
                   NOTE: PROCEDURE SORT used:
                   <br/>
                   real time           0.03 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   34   Proc means noprint data=blups; by effect;
                   <br/>
                   ERROR: Variable EFFECT not found.
                   <br/>
                   35   Var estimate;
                   <br/>
                   ERROR: Variable ESTIMATE not found.
                   <br/>
                   36   Output out=nnn n=nlevels; run;
                  </p>
                  <p>
                   NOTE: The SAS System stopped processing this step because of errors.
                   <br/>
                   WARNING: The data set WORK.NNN may be incomplete.  When this step was stopped there were 0
                   <br/>
                   observations and 0 variables.
                   <br/>
                   NOTE: PROCEDURE MEANS used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   37   Proc means noprint;
                   <br/>
                   38   Var nlevels;
                   <br/>
                   ERROR: Variable NLEVELS not found.
                   <br/>
                   39   Output out =nnn2 n=nrand sum=dfrand; run;
                  </p>
                  <p>
                   NOTE: The SAS System stopped processing this step because of errors.
                   <br/>
                   WARNING: The data set WORK.NNN2 may be incomplete.  When this step was stopped there were 0
                   <br/>
                   observations and 0 variables.
                   <br/>
                   NOTE: PROCEDURE MEANS used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   40   Data mmm; merge mmm ddd nnn2;
                   <br/>
                   41   Rsquare=(ctotss-sserr)/ctotss;
                   <br/>
                   42   Adjrsquare =1-(sserr/(nobs-value-dfrand+nrand-1))/(ctotss/(nobs-1));run;
                  </p>
                  <p>
                   NOTE: Variable value is uninitialized.
                   <br/>
                   NOTE: Variable dfrand is uninitialized.
                   <br/>
                   NOTE: Variable nrand is uninitialized.
                   <br/>
                   NOTE: There were 0 observations read from the data set WORK.MMM.
                   <br/>
                   NOTE: There were 0 observations read from the data set WORK.DDD.
                   <br/>
                   NOTE: There were 0 observations read from the data set WORK.NNN2.
                   <br/>
                   NOTE: The data set WORK.MMM has 0 observations and 13 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   42 !                                                                          proc print; run;
                  </p>
                  <p>
                   NOTE: No observations in data set WORK.MMM.
                   <br/>
                   NOTE: PROCEDURE PRINT used:
                   <br/>
                   real time           0.00 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   43
                   <br/>
                   44
                   <br/>
                   45
                   <br/>
                   46   *****run this code to get plot fitted model;
                   <br/>
                   47
                   <br/>
                   48   Proc sort data=ppp; by x;
                   <br/>
                   ERROR: Variable X not found.
                  </p>
                  <p>
                   NOTE: The SAS System stopped processing this step because of errors.
                   <br/>
                   NOTE: PROCEDURE SORT used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   49   Data predplot; set ppp;
                   <br/>
                   50   If rep=1 then do; pred1=pred; y1=y; end;
                   <br/>
                   51   If rep=2 then do; pred2=pred; y2=y; end;
                   <br/>
                   52   If rep=3 then do; pred3=pred; y3=y; end;
                   <br/>
                   53   If rep=4 then do; pred4=pred; y4=y; end;
                  </p>
                  <p>
                   NOTE: Variable rep is uninitialized.
                   <br/>
                   NOTE: There were 0 observations read from the data set WORK.PPP.
                   <br/>
                   NOTE: The data set WORK.PREDPLOT has 0 observations and 12 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   54   Proc gplot data=predplot;
                   <br/>
                   55   Title2 'straight broken line with lvar';
                   <br/>
                   56   Goptions hpos=35 vpos=35 ftext=swiss;
                   <br/>
                   57   Symbol1 v=dot c=black i=none;
                   <br/>
                   58   Symbol2 v=square c=blue i=none;
                   <br/>
                   59   Symbol3 v=triangle c=red i=none;
                   <br/>
                   60   Symbol4 v=x c=green i=none;
                   <br/>
                   61   Symbol5 i=join v=none c=black;
                   <br/>
                   62   Symbol6 i=join v=none c=blue;
                   <br/>
                   63   Symbol7 i=join v=none c=red;
                   <br/>
                   64   Symbol8 i=join v=none c=green;
                   <br/>
                   65   Plot (y1 y2 y3 y4)*x (pred1 pred2 pred3 pred4)*x/overlay;
                   <br/>
                   ERROR: Variable X not found.
                   <br/>
                   ERROR: Variable X not found.
                   <br/>
                   NOTE: The previous statement has been deleted.
                   <br/>
                   66   Run;
                  </p>
                  <p>
                   NOTE: No observations in data set WORK.PREDPLOT.
                   <br/>
                   67
                   <br/>
                   68
                   <br/>
                   69
                   <br/>
                   70   ****quadratic broken line with a random component included for parameter 1;
                  </p>
                  <p>
                   71
                  </p>
                  <p>
                   NOTE: PROCEDURE GPLOT used:
                   <br/>
                   real time           0.29 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   72   Proc nlmixed data=one maxiter=1000;
                   <br/>
                   73   Parameters L=725 U=0.13 R=0.5;
                   <br/>
                   74   Bounds 0.4&lt;R&lt;0.6;
                   <br/>
                   75   Z1=(x&lt;R)*(R-x);
                   <br/>
                   76   Model y ~normal (L+U*(z1*z1)+lvar,errvar);
                   <br/>
                   77   Random lvar~Normal (0, repvar) subject=rep out=blups;
                   <br/>
                   78   Predict L+U*(z1*z1) +lvar out=ppp;
                   <br/>
                   79   Ods output dimensions = ddd; run;
                   <br/>
                   NOTE: GCONV convergence criterion satisfied.
                   <br/>
                   NOTE: At least one element of the (projected) gradient is greater than 1e-3.
                   <br/>
                   NOTE: Moore-Penrose inverse is used in covariance matrix.
                   <br/>
                   WARNING: The final Hessian matrix is not positive definite, and therefore the estimated covariance
                   <br/>
                   matrix is not full rank and may be unreliable.  The variance of some parameter estimates
                   <br/>
                   is zero or some parameters are linearly related to other parameters.
                   <br/>
                   NOTE: The data set WORK.DDD has 7 observations and 2 variables.
                   <br/>
                   NOTE: The data set WORK.BLUPS has 8 observations and 10 variables.
                   <br/>
                   NOTE: The data set WORK.PPP has 828 observations and 12 variables.
                   <br/>
                   NOTE: PROCEDURE NLMIXED used:
                   <br/>
                   real time           0.29 seconds
                   <br/>
                   cpu time            0.10 seconds
                  </p>
                  <p>
                   80
                   <br/>
                   81   *****quadratic broken line, allowing parameter U (slope) to have random component;
                  </p>
                  <p>
                   82
                   <br/>
                   83   Proc nlmixed data=one maxiter=1000;
                   <br/>
                   84   Parameters L=725 U=-2000 R=0.5;
                   <br/>
                   85   Bounds 0.4&lt;R&lt;0.54;
                   <br/>
                   86   Z1=(x&lt;R)*(R-x);
                   <br/>
                   87   Model y ~normal (L+(U+Ur)*(z1*z1)+lvar, errvar);
                   <br/>
                   NOTE: SCL source line.
                   <br/>
                   88   Random Ur lvar~normal((0,0),(uvar,0, repvar)) subject=rep out=blups;
                   <br/>
                   –
                   <br/>
                   79
                   <br/>
                   ERROR 79-322: Expecting a ).
                  </p>
                  <p>
                   –
                   <br/>
                   76
                   <br/>
                   ERROR 76-322: Syntax error, statement will be ignored.
                  </p>
                  <p>
                   88 ! Random Ur lvar~normal((0,0),(uvar,0, repvar)) subject=rep out=blups;
                   <br/>
                   –
                   <br/>
                   79
                   <br/>
                   ERROR 79-322: Expecting a SUBJECT.
                   <br/>
                   89   Predict L+(U+Ur)*(z1*z1)+lvar out=ppp;
                   <br/>
                   90   Ods output dimensitons=ddd;
                   <br/>
                   91   Run;
                  </p>
                  <p>
                   NOTE: The data set WORK.PPP has 0 observations and 0 variables.
                   <br/>
                   WARNING: Data set WORK.PPP was not replaced because new file is incomplete.
                   <br/>
                   NOTE: PROCEDURE NLMIXED used:
                   <br/>
                   real time           0.04 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   WARNING: Output 'dimensitons' was not created.
                  </p>
                  <p>
                   92
                   <br/>
                   93
                   <br/>
                   94   *****quadratic model without random (block) effects***
                   <br/>
                   95   Proc nlmixed data=one maxieR=1000;
                   <br/>
                   NOTE: SCL source line.
                   <br/>
                   96   Prarmeters L716 U=-17500 R=0.5;
                   <br/>
                   ———-
                   <br/>
                   180
                  </p>
                  <p>
                   ERROR 180-322: Statement is not valid or it is used out of proper order.
                  </p>
                  <p>
                   NOTE: SCL source line.
                   <br/>
                   97   Bounds 0.4&lt;x&lt;0.6;
                   <br/>
                   ——
                   <br/>
                   180
                  </p>
                  <p>
                   ERROR 180-322: Statement is not valid or it is used out of proper order.
                  </p>
                  <p>
                   NOTE: SCL source line.
                   <br/>
                   98   Z1=(x&lt;R)*(R-x);
                   <br/>
                   —
                   <br/>
                   180
                  </p>
                  <p>
                   ERROR 180-322: Statement is not valid or it is used out of proper order.
                  </p>
                  <p>
                   NOTE: SCL source line.
                   <br/>
                   99   Model y ~normal (L+ U*(z1)*(z1),errvar);
                   <br/>
                   —–
                   <br/>
                   180
                  </p>
                  <p>
                   ERROR 180-322: Statement is not valid or it is used out of proper order.
                  </p>
                  <p>
                   NOTE: SCL source line.
                   <br/>
                   100  Predict L+U*(z1)*(z1) out=ppp;
                   <br/>
                   ——-
                   <br/>
                   180
                  </p>
                  <p>
                   ERROR 180-322: Statement is not valid or it is used out of proper order.
                  </p>
                  <p>
                   101  Run;
                   <br/>
                   102
                   <br/>
                   103
                   <br/>
                   104  ****run this cods to get an R-square with no random (block) effects in model;
                  </p>
                  <p>
                   105  Data ppp; set ppp;
                   <br/>
                   106  Resid=y-pred; run;
                  </p>
                  <p>
                   NOTE: Missing values were generated as a result of performing an operation on missing values.
                   <br/>
                   Each place is given by: (Number of times) at (Line):(Column).
                   <br/>
                   804 at 106:8
                   <br/>
                   NOTE: There were 828 observations read from the data set WORK.PPP.
                   <br/>
                   NOTE: The data set WORK.PPP has 828 observations and 13 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.03 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   107  Proc means noprint data=ppp; where y ne .;
                   <br/>
                   108  Var y resid;
                   <br/>
                   NOTE: SCL source line.
                   <br/>
                   109  Output out =mm muss=totss sserr=ctotss rssl n=nobs; run;
                   <br/>
                   —-
                   <br/>
                   22
                   <br/>
                   76
                  </p>
                  <p>
                   ERROR 22-322: Syntax error, expecting one of the following: ;, (, /, CSS, CV, IDGROUP, IDGRP,
                   <br/>
                   KURTOSIS, LCLM, MAX, MAXID, MEAN, MEDIAN, MIN, MINID, N, NMISS, OUT, P1, P10, P25,
                   <br/>
                   P5, P50, P75, P90, P95, P99, PROBT, Q1, Q3, QRANGE, RANGE, SKEWNESS, STDDEV, STDERR,
                   <br/>
                   SUM, SUMWGT, T, UCLM, USS, VAR.
                  </p>
                  <p>
                   ERROR 76-322: Syntax error, statement will be ignored.
                  </p>
                  <p>
                   NOTE: The SAS System stopped processing this step because of errors.
                   <br/>
                   NOTE: PROCEDURE MEANS used:
                   <br/>
                   real time           0.03 seconds
                   <br/>
                   cpu time            0.00 seconds
                  </p>
                  <p>
                   110  Data ddd; set ddd; if descry='parameters'; run;
                  </p>
                  <p>
                   NOTE: Variable descry is uninitialized.
                   <br/>
                   NOTE: There were 7 observations read from the data set WORK.DDD.
                   <br/>
                   NOTE: The data set WORK.DDD has 0 observations and 3 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   111  Data mmm; merge mmm ddd ;
                   <br/>
                   112  Rsquare = 1- (sserr/(nobs-value-1))/(ctotss/(nobs-1)); run;
                  </p>
                  <p>
                   NOTE: There were 0 observations read from the data set WORK.MMM.
                   <br/>
                   NOTE: There were 0 observations read from the data set WORK.DDD.
                   <br/>
                   NOTE: The data set WORK.MMM has 0 observations and 14 variables.
                   <br/>
                   NOTE: DATA statement used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
                  <p>
                   113  Proc print; run;
                  </p>
                  <p>
                   NOTE: No observations in data set WORK.MMM.
                   <br/>
                   NOTE: PROCEDURE PRINT used:
                   <br/>
                   real time           0.01 seconds
                   <br/>
                   cpu time            0.01 seconds
                  </p>
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